Texas ranks as top state for interest in AI-related job postings

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The analysis cites Amazon, Apple, and Tesla as three of the major employers in Texas pursuing AI initiatives. Photo via Getty Images

If internet search volume is an accurate barometer, Texas is a hotbed for interest in artificial intelligence jobs.

An analysis by Agility Writer, whose technology helps users produce AI-generated content, shows Texas ranks second among the states with the highest monthly search volume for AI-related jobs. The analysis puts Texas’ monthly search volume at 1,300, with California sitting in first place at 1,900 monthly searches.

“As the AI revolution continues to gain momentum, the geographic distribution of interest in AI careers is likely to evolve further, with states investing in AI education and fostering supportive ecosystems poised to reap the benefits of this transformative technology,” says Adam Yong, CEO of Agility Writer.

The analysis cites Amazon, Apple, and Tesla as three of the major employers in Texas pursuing AI initiatives.

Dice.com, a search engine for tech jobs, says AI roles that are in high demand include machine learning engineer, data scientist, AI research scientist, and robotics engineer.

“Looking forward, the demand for AI professionals is expected to intensify as technologies continue to advance and integrate into everyday business processes and consumer products. AI is not just creating jobs but also transforming them, requiring workers to adapt by gaining new skills,” says Dice.com.

A January 2024 report from career platform LinkedIn found that AI consultant and AI engineer are two of the 25 fastest-growing jobs in the U.S. this year. Most of these roles are concentrated in San Francisco, New York City, Washington, D.C.-Baltimore, and Boston, according to the report.

On the flip side, some analysts predict millions of jobs will be affected by or even lost to AI. For example, research from investment banking giant Goldman Sachs indicates roughly two-thirds of U.S. occupations “are exposed to some degree of automation by AI.”

A study released in 2023 by Chamber of Commerce, a business research company, anticipates as many as 12 percent of Houston-area workers could lose their jobs by 2027 due to AI.

"AI and technology in general may be taking certain jobs away, and yet we also see how it is changing the nature of jobs and even organizations and professions. In the ever-changing arena of AI, employees, job-seekers, and students will continue to adapt and learn new job skills that align with and anticipate workforce needs,” AI expert Fred Oswald, the Herbert S. Autrey Chair in Social Sciences at Rice University and a professor of psychological sciences, said in a 2023 news release.

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AI's true potential lies in its ability to enhance human capabilities, not replace them. Photo via Getty Images

Houston expert shares 3 strategies for integrating AI into the workforce

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The rapid advancement of artificial intelligence is forcing businesses to evaluate how they will manage the inevitable changes this technology will bring. With its ability to automate tasks, analyze large amounts of data, and provide detailed insights, AI offers an enormous opportunity for businesses of all sizes. However, realizing this potential requires a strategic approach that positions AI as a powerful partner, rather than a replacement for human ingenuity.

The British Council reports that an estimated 65 percent of today's students will eventually work in professions that have yet to be conceived. With the emergence of new AI, this projection emphasizes the importance of cultivating a versatile skill set that allows us to adapt to the ever-changing landscape. It also underscores the importance of having a strategy that embraces the division of labor between humans and machines.

What this means is that an AI strategy shouldn't just be about automation – it should also incorporate an understanding of the human-AI partnership that will be necessary for future success. By using the concepts of automation, augmentation, and autonomy, businesses can unlock the full potential of AI to boost efficiency, enhance decision-making, and ultimately drive continued success.

Automation: Delegating to the AI

We know AI can automate many tasks in a business. However, we should also look at automation from a strategy standpoint by asking, "What tasks can be fully delegated to the AI?" Answering this question might include considering routine, repetitive, and time-consuming tasks that shouldn't require human intervention or those that would be more susceptible to human error. The goal here should be to identify tasks that don't benefit from human nuance, meaning asking questions about time, precision, and compliance could offer even more value.

  • Time. What tasks are time-consuming and could be completed quickly with well-written instructions?
  • Precision. What tasks require precision that is difficult for humans to achieve?
  • Compliance. What tasks involve critical safety procedures or adherence to strict compliance that humans might overlook?

Augmentation: Using AI to boost your potential

Beyond automation, AI's true power lies in its ability to boost human capabilities. In this lens, you should ask, "How can the AI boost my output potential?" Think of AI as a skilled assistant that can analyze vast datasets, identify complex patterns, and present insights that aren't readily apparent to humans alone. The focus here is on tasks that still require a human touch but can benefit from computers' speed and data processing power. When exploring this further, consider asking questions about skill boosts, assistance, and focus.

  • Skill boosts. What tasks am I doing that I understand but need to be an expert at?
  • Assistance. What tasks still require a human's touch but could use processing or speed boosts?
  • Focus. What tasks are causing employees to spend more time on tools and less on goals?

Autonomy: The importance of humans in the loop

One question that comes up frequently when discussing AI is whether it will replace a particular set of jobs. My thoughts, however, are that while AI is remarkably powerful, the key to making all this work is understanding that not every task requires automation. In fact, some tasks would suffer from automation. This step requires you to ask, "Where are human emotion, creativity, intuition, and oversight essential?" Autonomy, in this sense, means digging into creativity, intuition, and uniqueness.

  • Creativity. Does this task require a level of creativity that a machine can't replicate?
  • Intuition. Does this task require emotional awareness that a machine can't discern?
  • Brand Uniqueness. Does this task represent a part of my brand that shouldn't be automated or machine-driven?

AI brings a lot to look forward to. It’s fair to say it’s on its way to transforming the world, but it's important to remember that the businesses that strategically embrace a human-centered approach to integrating AI into everyday business activities are the ones that will thrive. The three A’s: automation, augmentation, and autonomy, provide an essential foundation to begin this journey. By understanding the best applications for each aspect of AI, businesses of all sizes can discover areas for increased efficiency, more thoughtful decision-making, and a competitive edge that drives long-term success. AI's true potential lies in its ability to enhance human capabilities, not replace them.

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Kelsey Ruger is the chief technology and product officer for Hello Alice.

Let's talk about dark data — what it means and how to navigate it. Graphic byMiguel Tovar/University of Houston

Houston expert: Navigating dark data within research and innovation

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Is it necessary to share ALL your data? Is transparency a good thing or does it make researchers “vulnerable,” as author Nathan Schneider suggests in the Chronicle of Higher Education article, “Why Researchers Shouldn’t Share All Their Data.”

Dark Data Defined

Dark data is defined as the universe of information an organization collects, processes and stores – oftentimes for compliance reasons. Dark data never makes it to the official publication part of the project. According to the Gartner Glossary, “storing and securing data typically incurs more expense (and sometimes greater risk) than value.”

This topic is reminiscent of the file drawer effect, a phenomenon which reflects the influence of the results of a study on whether or not the study is published. Negative results can be just as important as hypotheses that are proven.

Publication bias and the need to only publish positive research that supports the PI’s hypothesis, it can be argued, is not good science. According to an article in the Indian Journal of Anaesthesia, authors Priscilla Joys Nagarajan, et al., wrote: “It is speculated that every significant result in the published world has 19 non-significant counterparts in file drawers.” That’s one definition of dark data.

Total Transparency

But what to do with all your excess information that did not make it to publication, most likely because of various constraints? Should everything, meaning every little tidbit, be readily available to the research community?

Schneider doesn’t think it should be. In his article, he writes that he hides some findings in a paper notebook or behind a password, and he keeps interviews and transcripts offline altogether to protect his sources.

Open-source

Open-source software communities tend to regard total transparency as inherently good. What are the advantages of total transparency? You may make connections between projects that you wouldn’t have otherwise. You can easily reproduce a peer’s experiment. You can even become more meticulous in your note-taking and experimental methods since you know it’s not private information. Similarly, journalists will recognize this thought pattern as the recent, popular call to engage in “open journalism.” Essentially, an author’s entire writing and editing process can be recorded, step by step.

TMI

This trend has led researchers to open-source programs like Jupyter and GitHub. Open-source programs detail every change that occurs along a project’s timeline. Is unorganized, excessive amounts of unpublishable data really what transparency means? Or does it confuse those looking for meaningful research that is meticulously curated?

The Big Idea

And what about the “vulnerability” claim? Sharing every edit and every new direction taken opens a scientist up to scoffers and harassment, even. Dark data in industry even involves publishing salaries, which can feel unfair to underrepresented, marginalized populations.

In Model View Culture, Ellen Marie Dash wrote: “Let’s give safety and consent the absolute highest priority, with openness and transparency prioritized explicitly below those. This means digging deep, properly articulating in detail what problems you are trying to solve with openness and transparency, and handling them individually or in smaller groups.”

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

Six Breezy One robots have landed in Houston's airports. Photo via buildwithrobots.com

Houston airports deploy disinfecting robots in their terminals

now boarding: automation

What stands four feet tall, measures 22 inches wide, and weighs about 265 pounds? One of the six robots that disinfect George Bush Intercontinental/Houston Airport and William P. Hobby Airport.

Last year, the Houston Airport System spent close to $1 million for six Breezy One robots made by Albuquerque, New Mexico-based Build With Robots. The robots, each costing $160,000, now help the airports’ human crews keep the two airports sanitized.

George Bush Intercontinental has four of the robots, and Hobby has two.

“Breezy One is an autonomous disinfecting robot. It moves on its own and disinfects any route that someone chooses at the push of a button. It disperses a disinfectant fog which reaches all surfaces, penetrates fabrics, and even disinfects the air,” according to Build With Robots.

The robot disinfects germy surfaces such as tables, chairs, doorknobs, and keyboards. A Breezy One robot can decontaminate more than 150,000 square feet of space in one hour with a patented, environmentally safe disinfectant, purportedly eliminating 99.9999 percent of viruses and bacteria. New Mexico’s Sandia National Laboratories developed the disinfectant.

Build With Robots, founded in 2017, launched Breezy One in 2020 at the Albuquerque International Sunport. The company developed the technology in conjunction with the City of Albuquerque’s Aviation Department. In January, Build With Robots announced it raised $5 million in funding. That was preceded by a seed round of about $1 million.

Before the disinfectant-filled robots go about their work, members of the Build With Robots team map the buildings where they’ll operate autonomously. The team members then load the maps into the robots. The robots follow commands given by a facility’s custodial team.

Traci Rutoski, manager of custodial services at Hobby, says Build With Robots “is providing us with the best tools to keep our passengers, employees, and stakeholders safe.”

Sam Rea, terminal manager at George Bush Intercontinental, says the Breezy One robots have enabled the airport to step up cleanliness in the COVID-19 era.

“With the onset of the pandemic, we needed to explore new and innovative solutions so that when people come through the airports, whether for work or travel, they feel safe and secure,” Rhea says in a news release.

Augusto Bernal, a spokesman for the Houston Airport System, says that while the disinfecting robots have been effective, there are no plans to add more of them.

Aside from the Houston Airport System and the Albuquerque airport, customers of Build With Robots include HVAC manufacturer Goodwin’s 4.2-million-square-foot operation at Daikin Texas Technology Park in Waller, Mount Vernon ISD in East Texas, the University of New Mexico in Albuquerque and Albuquerque’s Electric Playhouse amusement center. The robots, which can be purchased or leased, are designed to sanitize airports, arenas, stadiums, school buildings, and other heavily trafficked places.

Goodwin has installed one robot in Waller.

“This robot’s going to be able to clean 200,000 square feet of office and conference rooms in two, maybe two-and-a-half hours,” Charlie Strange, facilities manager at Goodwin’s Waller operation, told The Verge last November. “It would take my team all night long to do that — wiping down every surface by hand.”

For better or for worse, automation is going to have an affect on specific jobs in Houston. Getty Images

New report identifies the Houston jobs that are most likely going to be affected by automation

the robots are coming

A new report from UpSkill Houston, a workforce initiative of the Greater Houston Partnership, puts the implications of workplace automation into stark focus. According to the report, more than 50 percent of middle-skill jobs in the Houston area face a higher-than-average risk of being upset by automation.

Peter Beard, who leads UpSkill Houston and is senior vice president for workforce development at the Greater Houston Partnership, says this means technology will "get embedded even more in the workplace than it's ever been before. … People's jobs will change because they have to work alongside technology. And there will be some jobs that get displaced because of that technology."

"Robots are coming," he adds, "but they're not going to replace us. We're going to have to figure out how to work beside them."

Middle-skill jobs require less than a four-year bachelor's degree but more than a high school diploma. In other words, jobs fitting into this middle ground might demand a two-year associate's degree or a training certificate from a technical school.

The report, released July 16, points out that middle-skill occupations in manufacturing and construction, for instance, face a high risk of disruption as companies adopt technologies that automate tasks, such as prefabrication of building materials. By contrast, the report notes, automation places jobs in the health care and service sectors in far less jeopardy because they generally rely on tasks that can't easily be automated. For example, jobs in health care often require social skills that can't be replicated through automation, which includes artificial intelligence, robotics, and machine learning.

However, jobs in health care aren't entirely immune from shifts in the workplace. The report indicates jobs in workforce segments like health care, sales and office support, IT, management, and drafting now require a medium or high level of digital skills.

That being said, all workers — regardless of their industry, occupation, or education — must embrace solid digital skills in order to succeed in the workforce, the report states. Beard says that to compete in today's workforce, a high school graduate must be proficient in Microsoft's Word, Excel, and PowerPoint programs as well as in a customer relationship management platform like Salesforce.

The findings in the UpSkill Houston report come at a pivotal time for the Houston economy, given the job-slashing double whammy of the coronavirus pandemic and the oil slump. The pandemic "has accelerated and accentuated a fundamental change that has been underway — a change in the education and skills needed to be successful in the workforce today and into the future," the report states.

That change poses particular challenges for low-skill and middle-skill workers in the Houston area, according to the report. The report recommends that workforce development stakeholders, including employers, schools, and community organizations, build a regional "framework" aimed at ramping up skillsets so workers can seize increasingly elevated career opportunities.

"It all starts with the employer. The employer is in the best position to know what skills they need today and what skills they are likely to need tomorrow," Beard says. "Fundamentally, we're trying to create a supply chain of talent that meets the needs of our economy and the needs of our employers."

But that takes employers collaborating with schools to ensure those skills are being taught, he says, and employers and schools motivating students to consider jobs that incorporate those skills.

Beard assigns those skills to four categories:

  • Technical skills
  • Digital skills
  • Soft skills, such as communication
  • Problem-solving skills

"This whole push we've had that everyone should go to college and get a four-year degree has made folks consider jobs that don't require a four-year college degree to be menial," Beard says. "That same mentality has also permeated the employers. How many job descriptions have we seen that put a four-year degree requirement on them but that don't require four years of college education?"

We're living in the age of machine learning and artificial intelligence. Miguel Tovar/University of Houston

Now is the time to expand machine learning, says Houston researcher

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One might not expect the game of checkers to have anything to do with artificial intelligence, but the game really marked the beginning of machine learning in 1959. Pioneered by an MIT professor named Arthur Lee Samuel, it was discovered that teaching a simple strategy game to a computer is not so simple when every move needs to be anticipated.

Smart machines Additionally, in a Forbes article about the difference between artificial intelligence and machine learning, Bernard Marr comments, "Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider 'smart'. And, machine learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves."

That's the premise of many a movie involving computers which become sentient, but is it really science fiction anymore?

Meet the new boss

Teaching a computer to think like a human is advantageous and includes the added bonus of increased speed. Computers aren't biased, either — which is why huge corporations, such as Unilever, use computers to thin out their first wave of applicants. You actually interview with a bot when you begin the employment process there.

Cause and effect AI and ML are often used in cybersecurity efforts — at least one would suppose. But in Security magazine, Jordan Mauriello writes: "AI/ML cannot do causation." That means artificial intelligence cannot, at this point in time, tell you why something happened. The why? is best left to experts who deal with game theory and other ways of determining how to defend against hypothetical attacks.

Get in on the ground floor

The field is growing and students at colleges across the country are beginning to train for careers in it in droves.

"America's top colleges are ramping up their research efforts and developing concentrations for their computer science degree programs to accommodate this high-tech field," writes Great Value Colleges on their blog. It looks as though this discipline is on an upward trajectory and shows no sign of slowing down.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

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2 Houston organizations team up to drive SaaS innovation within energy sector

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Two entities looking to support software-as-a-service innovation have teamed up on a new resource to meet the energy sector corporate clients' growing technology demands.

MOIC Partners, an energy enterprise software sales support solution provider founded earlier this year, and Venture Builder VC, a consulting firm, investor, and accelerator program operator led by a group of Houston innovators, have announced a new partnership. The two entities will combine resources and efforts to "drive innovation, accelerate growth and empower young companies," per a news release from the organizations.

“Throughout our careers, we’ve encountered various approaches to achieving the broader innovation objectives of Venture Builder VC and, in our judgment, this program truly stands out as a model that has the potential to introduce significant innovation to the energy sector in an abbreviated timeframe,” Dave Levitt of MOIC Partners says in the release.

MOIC Partners provides go-to-market products and services, including MOIC Sales Engine, MOIC Pipeline Grader, MOIC Pricing Engine, Virtual Dave, and MOIC Exit Engine.

Venture Builder VC recently partnered with NOV on a custom accelerator for the energy leader.

“We deliver disruptive solutions to enterprise R&D and innovation leaders by targeting growth-stage startups solving their specific problems," Billy Grandy, founder and general partner of Venture Builder VC, says in the release. "While founder-led models excel in driving change, they often struggle with scalability and change management with corporate customers. Our partnership with MOIC Partners provides essential tools to help small and mid-sized SaaS companies overcome these challenges and achieve sustainable growth.”

Houston expert shares how to implement thought leadership into your B2B marketing

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Did you know that 52 percent of decision-makers and 54 percent of C-level executives spend an hour or more per week reading thought leadership content? This is according to a recent Edelman and LinkedIn survey on thought leadership.

I often counsel my clients about the role of thought leadership in B2B marketing. Thought leadership remains a strategic approach that can set a company apart, establish credibility and a strong brand voice and position it as a trusted expert in its industry. But what exactly is thought leadership, and how can it support a B2B marketing strategy?

Why a thought leadership strategy matters

Thought leadership marks a commitment to provide value through insights beyond mere selling. It involves producing content and ideas that address the company's target audience's most pressing challenges and questions. This content helps position the company as a service partner, go-to resource and industry advisor.

Builds credibility and trust: Trust remains vital in a B2B context where longer sales cycles and purchasing decisions undergo scrutiny. Thought leadership lets a company demonstrate its expertise, solution-based thinking and value meaningfully to decision-makers. According to industry data, an estimated 75 percent of decision-makers say an organization's thought leadership content is more trustworthy for assessing its capabilities and competencies than its marketing and product sheets.

Differentiates from competitors: By sharing insights, a company can differentiate itself in a crowded market. Thought leadership helps companies stand out by proving their deep understanding of the customer's challenges and needs and the solutions available for more efficient and cost-effective operations.

Enhances brand awareness: Regular publication of insightful content, whether through blogs, webinars or white papers, can increase brand visibility and keep the company top of mind for customers and potential customers.

Supports sales efforts: Well-crafted thought leadership content can powerfully warm up leads. It provides sales teams with material that resonates with prospective customers' pain points and aspirations. According to the Edelman report, nine in 10 decision-makers and C-suite executives said that they are moderately or very likely to be receptive to sales or marketing outreach from a company that consistently produces high-quality thought leadership.

How to implement a thought leadership strategy

Identify key insights and topics: Start by understanding the questions and challenges the target audience faces. Use this insight to create content that addresses these issues, offers solutions or provides novel perspectives. Include strong research and data, and offer case studies or practical steps. Depending on where the audience spends its time, consider publishing on LinkedIn, industry blogs, podcasts or webinars.

Remember that consistency is key: Thought leadership isn't a one-and-done approach. Build an ongoing and consistent content program. Keeping to a schedule helps maintain audience engagement and reinforces the organization's position as an industry leader.

Measure and adapt: Like any marketing strategy, measuring the effectiveness of your thought leadership efforts remains critical. Setting clear objectives provides the foundation for defining success and measuring outcomes effectively. Metrics could include media coverage, website traffic, social media engagement and business development leads. Additionally, sales impact can be measured by actions such as first-time discovery calls and sales-qualified leads.

Thought leadership proves an invaluable strategy for B2B marketing. It aims to assert the expertise of a company and build meaningful connections with its audience. A business can establish a strong, credible brand that attracts and retains customers by providing valuable insights and solving real-world customer challenges through high-quality content.

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Melanie Taplett provides communications and public relations services to the energy, manufacturing, technology, engineering and construction industries. Contact her at mtaplett@taplycom.com.

Hardtech-focused fellowship opens applications for 2025 Houston cohort

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Applications are officially open for a Activate's second Houston cohort.

Activate's application is live from now through October 23, and all founders of early-stage, research-backed hardtech companies in Houston are encouraged to apply. The Berkley, California-based program launched in Houston last year and recently named its inaugural Houston cohort.

“The Activate Fellowship provides an opportunity for approximately 50 scientists and engineers annually to transform into entrepreneurial leaders, derisk their technologies, define first markets, build teams, and secure follow-on funding,” says Activate’s executive managing director, Aimee Rose, in a news release. “With an average 30 percent annual growth in applications since 2015, we know there is high demand for what we do, and we’re excited to see the talent and impactful ideas that come through the pipeline this year.

The program, led locally by Houston Managing Director Jeremy Pitts, has 249 current Activate fellows and alumni that have collectively raised over $2.4 billion in public and private funding since the organization was founded in 2015.

“The success of Activate Fellows is ample evidence that scientists and engineers have the talent and drive to face global challenges head-on,” adds Activate chief fellowship officer, Brenna Teigler. “Our diverse fellows are transforming technical breakthroughs into businesses across the United States in 26 states across a range of sectors spanning carbon management, semiconductors, manufacturing, energy, chemicals, ocean tech, and more.”

The application is available online, and fellows will be selected in April of next year. The 2025 program will begin in June.

Activate is looking for local and regional early-stage founders — who have raised less than $2 million in funding — who are working on high-impact technology. Each cohort consists of 10 fellows that join the program for two years. The fellows receive a living stipend, connections from Activate's robust network of mentors, and access to a curriculum specific to the program.

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This article originally ran on EnergyCapital.

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